J. Daniel García

85 total papers · 643 total citations
50 papers, 393 citations indexed

About

J. Daniel García is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, J. Daniel García has authored 50 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Networks and Communications, 28 papers in Hardware and Architecture and 11 papers in Information Systems. Recurrent topics in J. Daniel García's work include Parallel Computing and Optimization Techniques (28 papers), Advanced Data Storage Technologies (25 papers) and Distributed and Parallel Computing Systems (21 papers). J. Daniel García is often cited by papers focused on Parallel Computing and Optimization Techniques (28 papers), Advanced Data Storage Technologies (25 papers) and Distributed and Parallel Computing Systems (21 papers). J. Daniel García collaborates with scholars based in Spain, Italy and Switzerland. J. Daniel García's co-authors include Jesús Carretero, Javier Fernández, Manuel F. Dolz, Alberto Núñez, Alejandro Calderón, Félix Garcı́a-Carballeira, Antonio Lozano, Félix García, Marco Danelutto and Massimo Torquati and has published in prestigious journals such as IEEE Access, Reliability Engineering & System Safety and Future Generation Computer Systems.

In The Last Decade

J. Daniel García

46 papers receiving 373 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
J. Daniel García	234	152	124	47	32	50	393
Félix Garcı́a-Carballeira	227 1.0×	55 0.4×	126 1.0×	48 1.0×	11 0.3×	38	365
Lutz Wrage	113 0.5×	103 0.7×	153 1.2×	33 0.7×	55 1.7×	33	377
Andrew J. Kornecki	67 0.3×	58 0.4×	139 1.1×	110 2.3×	94 2.9×	67	389
Oleg Illiashenko	126 0.5×	23 0.2×	82 0.7×	34 0.7×	16 0.5×	51	358
Bruno Nogueira	218 0.9×	72 0.5×	117 0.9×	18 0.4×	50 1.6×	58	427
Gaurav Sharma	98 0.4×	22 0.1×	71 0.6×	69 1.5×	12 0.4×	41	364
R. Nedunchezhian	143 0.6×	53 0.3×	143 1.2×	19 0.4×	14 0.4×	43	416
Giuseppe Iazeolla	153 0.7×	34 0.2×	118 1.0×	20 0.4×	61 1.9×	54	355
Himanshu Neema	104 0.4×	49 0.3×	59 0.5×	21 0.4×	60 1.9×	42	393
Alessio Bucaioni	60 0.3×	94 0.6×	88 0.7×	31 0.7×	119 3.7×	61	375

Countries citing papers authored by J. Daniel García

Since Specialization

Citations

This map shows the geographic impact of J. Daniel García's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by J. Daniel García with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Daniel García more than expected).

Fields of papers citing papers by J. Daniel García

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Daniel García. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by J. Daniel García. The network helps show where J. Daniel García may publish in the future.

Co-authorship network of co-authors of J. Daniel García

This figure shows the co-authorship network connecting the top 25 collaborators of J. Daniel García. A scholar is included among the top collaborators of J. Daniel García based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. Daniel García. J. Daniel García is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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